Radio Frequency Interference on Nearby Radio Astronomical Lines: Relationship between Wind Speed and Radio Signal Strength Measured at East Coast of Peninsular Malaysia

Zafar, Sharifah Nurul Aisyah Syed; Sabri, Nor Hazmin; Umar, Roslan; Ibrahim, Zainol Abidin

doi:10.17576/jsm-2019-4801-21

Cited by 6 publications

(4 citation statements)

References 16 publications

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“…More so, they observed that there is a large power of variation and deep fades in received signal as the strength of the wind and the intensity of the rain increase. Syed Zafar et al [70] said that strong wind speed and rain could contribute to the attenuation of radio signals. In their analysis, results showed that between the wet and dry seasons, the former season showed a signifcantly stronger negative correlation between received signal strength and wind speed.…”

Section: Resultsmentioning

confidence: 99%

“…In their analysis, results showed that between the wet and dry seasons, the former season showed a signifcantly stronger negative correlation between received signal strength and wind speed. Syed Zafar et al [70] in a further analysis suggested that a fresh breeze had brought high rainwater due to the high rain rate and caused the absorption and scattering of radio signals which increased the attenuation of received signal strength. However, they forwarded that wind speed without rain and a decrease in humidity during the dry season were found to increase the received signal strength.…”

Section: Resultsmentioning

confidence: 99%

“…Out of the basic quartet parameters of interest to meteorologists or weather scientists, the triplet: atmospheric temperature, atmospheric pressure, and relative humidity are required for the computation of refractivity [59][60][61][62][63][64][65]. Nonetheless, wind can also afect radio refractivity, since it afects the composition of the atmosphere and a lot of research has shown that wind afects radio communication in the atmosphere [66][67][68][69][70].…”

Section: Introductionmentioning

confidence: 99%

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Radio Refractivity Impact on Signal Strength of Mobile Communication

Amajama,

Asagha,

Ushie

et al. 2023

Journal of Electrical and Computer Engineering

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This research investigated radio refractivity impact on signal strength of mobile communication. The mobile communication signal strengths of two popular networks in Nigeria, 9Mobile and MTN, were considered. In the 2100 MHz-3 G band, 9Mobile transmits in the downlink spectrum of 2130.00–2140.00 MHz, while MTN transmits in the downlink spectrum of 2110.00–2120.00 MHz. Also, 9Mobile transmits in the downlink spectrum of 791–821 MHz in the 800 MHz band and 1805–1880 MHz in the 1800 MHz, while MTN transmits in the downlink spectrums of 2620–2690 MHz in the 2600 MHz band; all in the 4 G band. Using the instrument of a mobile station in each station (location) in some selected cities in southern Nigeria, the signal strengths were measured. A cell signal monitor (version 5.1.1) mobile application installed in an Android (transceiver) device (having two SIM slots) constituted the mobile station. To achieve high accuracy, there was a restriction in measuring transmission from specific cells. Hourly measurement of signal strengths was carried out and instantaneously corresponding weather parameters were recorded. Weather parameters for this investigation; atmospheric temperature and pressure; and relative humidity were excerpted online from the Nigeria Meteorological Agency (NIMET) hourly weather report for the various cities where the stations were situated. The hourly radio refractivity was computed using the 2015 International Telecommunication Union–Radio-communication sector (ITU-R) recommended model. Overall, the results indicate that there was no established linear relationship between signal strength and radio refractivity since the overall average R value is 0.0123691 and the overall average standard deviation of R values is 0.1112165. The inconsistencies in the linear relationships obtained from different locations and cells could be due to variations in topography, antenna properties, seasonal variations, wind and position, and distance of the receiver from the transmitter.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Radio Refractivity Impact on Signal Strength of Mobile Communication

Amajama,

Asagha,

Ushie

et al. 2023

Journal of Electrical and Computer Engineering

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“…Since the data did not follow the normal distribution then the Spearman Rank Correlation analysis (non-parametric test) was used to test the strength of the linear relationship between two variables. The formula of rank spearman correlation coefficient ( 4) is as shown below [14], [15]:…”

Section: Rank Spearman Correlation Coefficient Analysismentioning

confidence: 99%

Assessment of Radio Telecommunication Coverage Signal Using Geospatial Analysis

et al. 2022

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With the advancement in Information and Communications Technology (ICT), the importance of telecommunication sectors is irrefutable. Rapid growth in this sector requires a good network coverage so the application of the technology is accessible for all purpose from everywhere. In this study, the radio telecommunication coverage signal in Kg. Gong Badak, Universiti Malaysia Terengganu (UMT) and Universiti Sultan Zainal Abidin (UNISZA) have analysed to estimate the frequency (MHz) level using different interpolation techniques (IDW, Natural Neighbor, and Kriging) to select the best method. Then, the relationship between signal strength level (amplitude) and Land Use Land Cover (LULC) data was identified. Several statistical approaches such as Linear Regression Model and Rank Spearman Correlation Coefficient were implemented in this study. From the findings, we found that the Kriging method is the best technique to be applied for network coverage assessment. We also found that the relationship between signal strength (amplitude) and LULC in Kg. Gong Badak exists either in environmental aspects or physical structures. Kg.Tok Jembal, UMT, Kg. Pak Tuyu and Kg. Jati show a strong positive linear relationship (p-value of < 1%) between signal strength received and a 100-meter interval for 1 kilometer from the base station tower (BST). This indicates that the distance from the BST determines the signal strength. This study can be beneficial for the government and the players in the telecommunication industry to monitor the network coverage in Malaysia to provide a better service.

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